Headline risk
17%
Moderate RiskPaper goods machine setters, operators, and tenders
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into products.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,390
Employment 2024
97.5K
Projected Change (2024–34)
-6.3%
Openings (2024–34)
8.1K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Examine completed work to detect defects and verify conformance to work orders, and adjust machinery as necessary to correct production problems. AI use: 0%
- 2. Observe operation of various machines to detect and correct machine malfunctions such as improper forming, glue flow, or pasteboard tension. AI use: 0%
- 3. Start machines and move controls to regulate tension on pressure rolls, to synchronize speed of machine components, and to adjust temperatures of glue or paraffin. AI use: 0%
- 4. Install attachments to machines for gluing, folding, printing, or cutting. AI use: 0%
- 5. Disassemble machines to maintain, repair, or replace broken or worn parts, using hand or power tools. AI use: 0%
- 6. Place rolls of paper or cardboard on machine feed tracks, and thread paper through gluing, coating, and slitting rollers. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 40.6 · 55K employed
Under 25: 4% · 25–54: 80% · 55+: 16%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.